Your browser doesn't support javascript.
loading
[Ecology suitability study of Polygonatum cyrtonema].
Zhang, Peng-Fei; Zhang, Hong; Zhang, Xiao-Bo; Yin, Yong-Fei; Liu, Shou-Jin; Li, Lei; Peng, Dai-Yin.
Afiliação
  • Zhang PF; College of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China.
  • Zhang H; College of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China Institute of Traditional Chinese Medicine Resources Protection and Development, Anhui Academy of Chinese Medicine Hefei 230012, China.
  • Zhang XB; State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing 100700, China.
  • Yin YF; College of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China.
  • Liu SJ; College of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China Institute of Traditional Chinese Medicine Resources Protection and Development, Anhui Academy of Chinese Medicine Hefei 230012, China.
  • Li L; Anhui Senyu Agricultural Comprehensive Development Co., Ltd. Hefei 230000, China.
  • Peng DY; College of Pharmacy, Anhui University of Chinese Medicine Hefei 230012, China Institute of Traditional Chinese Medicine Resources Protection and Development, Anhui Academy of Chinese Medicine Hefei 230012, China.
Zhongguo Zhong Yao Za Zhi ; 45(13): 3073-3078, 2020 Jul.
Article em Zh | MEDLINE | ID: mdl-32726013
ABSTRACT
Using the 260 geographical distribution records of Polygonatum cyrtonema in China, combined with 53 environmental factors, the maximum entropy modeling(MaxEnt) was used to study the ecological factors affecting the suitability distribution of P. cyrtonema. The ArcGIS software was used to predict the potential distribution of the population of P. cyrtonema. The dominant factors were chosen by using the Jackknife test and the Receiver Operating Characteristic(ROC) curve was used to evaluate the simulation. The results showed that high value of area under curve(AUC) denoted good results, which significantly differed from random predictions. Based on the evaluation criterion, the accuracies of the predictions of P. cyrtonema potential distribution in the current periods were excellent. The main environmental factors affecting the suitable growth of P. cyrtonema were the monthly precipitation, the wettest monthly precipitation, the annual average temperature range and the precipitation of November, March, February, April, May and October. There are 9 environmental factors in soil type. The potential fitness of P. cyrtonema in China is high, mainly concentra-ted in Hunan, western Hubei, Guangdong, northeastern Guangxi, southeastern Guizhou, Jiangxi, southwestern Anhui, Fujian, Zhejiang, Shaanxi, southwestern Henan and Chongqing. The growth distribution of the potential distribution area of P. cyrtonema was divided, and the zoning map of the growth suitability of P. cyrtonema was formed. Through the comparative analysis of the potential distribution range based on MaxEnt and the distribution range of literature records, the understanding of the distribution range of P. cyrtonema was expanded.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: Zh Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: Zh Ano de publicação: 2020 Tipo de documento: Article